{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-24T09:16:40.396052Z",
     "iopub.status.busy": "2021-06-24T09:16:40.395535Z",
     "iopub.status.idle": "2021-06-24T09:16:40.517322Z",
     "shell.execute_reply": "2021-06-24T09:16:40.515884Z",
     "shell.execute_reply.started": "2021-06-24T09:16:40.395991Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ls: 无法访问'../data/': 没有那个文件或目录\n"
     ]
    }
   ],
   "source": [
    "!ls ../data/ -l"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-24T09:16:40.965708Z",
     "iopub.status.busy": "2021-06-24T09:16:40.965170Z",
     "iopub.status.idle": "2021-06-24T09:16:41.084074Z",
     "shell.execute_reply": "2021-06-24T09:16:41.082673Z",
     "shell.execute_reply.started": "2021-06-24T09:16:40.965658Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ls: 无法访问'../data/训练集/': 没有那个文件或目录\n"
     ]
    }
   ],
   "source": [
    "!ls ../data/训练集/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-24T09:17:12.929722Z",
     "iopub.status.busy": "2021-06-24T09:17:12.929232Z",
     "iopub.status.idle": "2021-06-24T09:17:13.295702Z",
     "shell.execute_reply": "2021-06-24T09:17:13.295073Z",
     "shell.execute_reply.started": "2021-06-24T09:17:12.929676Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import cv2\n",
    "import glob\n",
    "\n",
    "%pylab inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-24T09:17:13.296629Z",
     "iopub.status.busy": "2021-06-24T09:17:13.296462Z",
     "iopub.status.idle": "2021-06-24T09:17:13.305893Z",
     "shell.execute_reply": "2021-06-24T09:17:13.305506Z",
     "shell.execute_reply.started": "2021-06-24T09:17:13.296614Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "train_df = pd.DataFrame({'path': glob.glob('./清华大学_智能硬件语音控制的时频图分类挑战赛/训练集/*/*')})\n",
    "train_df['label'] = train_df['path'].apply(lambda x: int(x.split('/')[-2]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-24T09:20:21.514073Z",
     "iopub.status.busy": "2021-06-24T09:20:21.513500Z",
     "iopub.status.idle": "2021-06-24T09:20:21.524465Z",
     "shell.execute_reply": "2021-06-24T09:20:21.523814Z",
     "shell.execute_reply.started": "2021-06-24T09:20:21.514021Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       16\n",
       "1       16\n",
       "2       16\n",
       "3       16\n",
       "4       16\n",
       "        ..\n",
       "1862    15\n",
       "1863    15\n",
       "1864    15\n",
       "1865    15\n",
       "1866    15\n",
       "Name: label, Length: 1867, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df['label']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 数据分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-24T09:17:13.616687Z",
     "iopub.status.busy": "2021-06-24T09:17:13.616182Z",
     "iopub.status.idle": "2021-06-24T09:17:13.660155Z",
     "shell.execute_reply": "2021-06-24T09:17:13.659504Z",
     "shell.execute_reply.started": "2021-06-24T09:17:13.616643Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def show_image(paths):\n",
    "    plt.figure(figsize=(10, 8))\n",
    "    for idx, path in enumerate(paths):\n",
    "        plt.subplot(1, len(paths), idx+1)\n",
    "        img = cv2.imread(path)\n",
    "        print(img.shape)\n",
    "        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n",
    "        plt.imshow(img)\n",
    "        plt.xticks([]); plt.yticks([])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-24T09:16:08.387021Z",
     "iopub.status.busy": "2021-06-24T09:16:08.386494Z",
     "iopub.status.idle": "2021-06-24T09:16:08.661501Z",
     "shell.execute_reply": "2021-06-24T09:16:08.660984Z",
     "shell.execute_reply.started": "2021-06-24T09:16:08.386975Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(513, 800, 3)\n",
      "(513, 800, 3)\n",
      "(513, 800, 3)\n",
      "(513, 800, 3)\n",
      "(513, 800, 3)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_image(train_df.sample(5)['path'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-24T09:08:33.939856Z",
     "iopub.status.busy": "2021-06-24T09:08:33.939136Z",
     "iopub.status.idle": "2021-06-24T09:08:34.119561Z",
     "shell.execute_reply": "2021-06-24T09:08:34.119099Z",
     "shell.execute_reply.started": "2021-06-24T09:08:33.939807Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 8))\n",
    "train_df['label'].value_counts().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-24T09:08:34.379478Z",
     "iopub.status.busy": "2021-06-24T09:08:34.378946Z",
     "iopub.status.idle": "2021-06-24T09:08:34.655467Z",
     "shell.execute_reply": "2021-06-24T09:08:34.655009Z",
     "shell.execute_reply.started": "2021-06-24T09:08:34.379432Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_image(train_df[train_df['label'] == 1].sample(5)['path'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-24T09:08:34.930015Z",
     "iopub.status.busy": "2021-06-24T09:08:34.929474Z",
     "iopub.status.idle": "2021-06-24T09:08:35.204528Z",
     "shell.execute_reply": "2021-06-24T09:08:35.204070Z",
     "shell.execute_reply.started": "2021-06-24T09:08:34.929968Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_image(train_df[train_df['label'] == 10].sample(5)['path'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 模型训练"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-24T09:17:16.527237Z",
     "iopub.status.busy": "2021-06-24T09:17:16.526703Z",
     "iopub.status.idle": "2021-06-24T09:17:17.572748Z",
     "shell.execute_reply": "2021-06-24T09:17:17.572243Z",
     "shell.execute_reply.started": "2021-06-24T09:17:16.527192Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import os, sys, codecs, glob\n",
    "from PIL import Image, ImageDraw\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import cv2\n",
    "\n",
    "import torch\n",
    "torch.backends.cudnn.benchmark = True\n",
    "torch.backends.cudnn.enabled = True\n",
    "\n",
    "import torchvision.models as models\n",
    "import torchvision.transforms as transforms\n",
    "import torchvision.datasets as datasets\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "import torch.optim as optim\n",
    "from torch.autograd import Variable\n",
    "from torch.utils.data.dataset import Dataset\n",
    "\n",
    "import albumentations as A\n",
    "from albumentations.pytorch import ToTensorV2\n",
    "from albumentations import (\n",
    "    HorizontalFlip, IAAPerspective, ShiftScaleRotate, CLAHE, RandomRotate90,\n",
    "    Transpose, ShiftScaleRotate, Blur, OpticalDistortion, GridDistortion, HueSaturationValue,\n",
    "    IAAAdditiveGaussianNoise, GaussNoise, MotionBlur, MedianBlur, IAAPiecewiseAffine,\n",
    "    IAASharpen, IAAEmboss, RandomBrightnessContrast, Flip, OneOf, Compose\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-24T09:17:17.573687Z",
     "iopub.status.busy": "2021-06-24T09:17:17.573509Z",
     "iopub.status.idle": "2021-06-24T09:17:17.577741Z",
     "shell.execute_reply": "2021-06-24T09:17:17.577362Z",
     "shell.execute_reply.started": "2021-06-24T09:17:17.573671Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "class XunFeiDataset(Dataset):\n",
    "    def __init__(self, img_path, img_label, transform=None):\n",
    "        self.img_path = img_path\n",
    "        self.img_label = img_label\n",
    "        self.transform = transform\n",
    "\n",
    "    def __getitem__(self, index):\n",
    "#         img = cv2.imread(self.img_path[index])[:, :, :3]\n",
    "#         img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n",
    "\n",
    "        img = Image.open(self.img_path[index]).convert('RGB')\n",
    "        img = np.asarray(img)\n",
    "        \n",
    "        if self.transform is not None:\n",
    "            img = self.transform(image=img)[\"image\"]\n",
    "        \n",
    "        label = torch.from_numpy(np.array([self.img_label[index]]))\n",
    "        return img, label\n",
    "\n",
    "    def __len__(self):\n",
    "        return len(self.img_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-24T09:17:18.083274Z",
     "iopub.status.busy": "2021-06-24T09:17:18.082741Z",
     "iopub.status.idle": "2021-06-24T09:17:18.093427Z",
     "shell.execute_reply": "2021-06-24T09:17:18.092971Z",
     "shell.execute_reply.started": "2021-06-24T09:17:18.083229Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def accuracy(output, target, topk=(1,)):\n",
    "    \"\"\"Computes the accuracy over the k top predictions for the specified values of k\"\"\"\n",
    "    with torch.no_grad():\n",
    "        maxk = max(topk)\n",
    "        batch_size = target.size(0)\n",
    "\n",
    "        _, pred = output.topk(maxk, 1, True, True)\n",
    "        pred = pred.t()\n",
    "        correct = pred.eq(target.view(1, -1).expand_as(pred))\n",
    "\n",
    "        # print(correct.shape)\n",
    "        res = []\n",
    "        for k in topk:\n",
    "            # print(correct[:k].shape)\n",
    "            correct_k = correct[:k].float().sum()\n",
    "            res.append(correct_k.mul_(100.0 / batch_size))\n",
    "            \n",
    "        # print(res)\n",
    "        return res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-24T09:19:54.086067Z",
     "iopub.status.busy": "2021-06-24T09:19:54.085456Z",
     "iopub.status.idle": "2021-06-24T09:19:55.097487Z",
     "shell.execute_reply": "2021-06-24T09:19:55.096878Z",
     "shell.execute_reply.started": "2021-06-24T09:19:54.086013Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import StratifiedKFold\n",
    "\n",
    "skf = StratifiedKFold(n_splits=5)\n",
    "fold = 0\n",
    "for train_idx, val_idx in skf.split(train_df['path'].values, train_df['label'].values):\n",
    "    train_loader = torch.utils.data.DataLoader(\n",
    "        XunFeiDataset(train_df['path'].iloc[train_idx][:100].values, train_df['label'].iloc[train_idx][:100].values,\n",
    "                    A.Compose(\n",
    "                        [\n",
    "                            A.Resize(350, 350),\n",
    "                            Transpose(),\n",
    "                            OneOf([\n",
    "                                IAAAdditiveGaussianNoise(),\n",
    "                                GaussNoise(),\n",
    "                            ], p=0.5),\n",
    "#                             OneOf([\n",
    "#                                 MotionBlur(p=0.2),\n",
    "#                                 MedianBlur(blur_limit=3, p=0.1),\n",
    "#                                 Blur(blur_limit=3, p=0.1),\n",
    "#                             ], p=0.5),\n",
    "                            OneOf([\n",
    "                                OpticalDistortion(p=0.3),\n",
    "                                GridDistortion(p=0.1),\n",
    "                                IAAPiecewiseAffine(p=0.3),\n",
    "                            ], p=0.5),\n",
    "                            A.ShiftScaleRotate(shift_limit=0.05, scale_limit=0.05, rotate_limit=15, p=0.5),\n",
    "                            A.RandomCrop(height=330, width=330),\n",
    "                            A.RandomBrightnessContrast(p=0.5),\n",
    "                            A.Normalize(mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225)),\n",
    "                            ToTensorV2(),\n",
    "                        ])\n",
    "        ),\n",
    "        batch_size=10, shuffle=True, num_workers=5,\n",
    "    )\n",
    "\n",
    "    val_loader = torch.utils.data.DataLoader(\n",
    "        XunFeiDataset(train_df['path'].iloc[val_idx][:100].values, train_df['label'].iloc[val_idx][:100].values,\n",
    "                    A.Compose(\n",
    "                        [\n",
    "                            A.Resize(330, 330),\n",
    "                            A.Normalize(mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225)),\n",
    "                            ToTensorV2(),\n",
    "                        ])\n",
    "        ),\n",
    "        batch_size=10, shuffle=False, num_workers=5,\n",
    "    )\n",
    "    \n",
    "    import timm\n",
    "    model = timm.create_model('efficientnet_b3', num_classes=24, pretrained=True, in_chans=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-24T09:20:28.331715Z",
     "iopub.status.busy": "2021-06-24T09:20:28.331169Z",
     "iopub.status.idle": "2021-06-24T09:20:50.166672Z",
     "shell.execute_reply": "2021-06-24T09:20:50.166040Z",
     "shell.execute_reply.started": "2021-06-24T09:20:28.331668Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch/Batch\t\tTrain: loss/Top1/Top3\t\tTest: loss/Top1/Top3\n",
      "0 /0     \t\t0.9141/30.0000/100.0000\t\t4128943078.4000/16.0000/31.0000\n",
      "1 /0     \t\t0.5022/80.0000/100.0000\t\t36945.8771/16.0000/31.0000\n",
      "2 /0     \t\t0.6141/80.0000/100.0000\t\t329.4372/15.0000/51.0000\n",
      "3 /0     \t\t0.6455/50.0000/100.0000\t\t36.2436/13.0000/41.0000\n",
      "4 /0     \t\t0.7294/40.0000/100.0000\t\t25.4556/20.0000/46.0000\n"
     ]
    }
   ],
   "source": [
    "model = model.cuda()\n",
    "loss_fn = nn.CrossEntropyLoss()\n",
    "optimizer = optim.Adam(model.parameters(), lr=0.05)\n",
    "scheduler = optim.lr_scheduler.StepLR(optimizer, step_size=len(train_loader) / 10, gamma=0.85)\n",
    "\n",
    "print('Epoch/Batch\\t\\tTrain: loss/Top1/Top3\\t\\tTest: loss/Top1/Top3')\n",
    "\n",
    "for epoch in range(5):\n",
    "    train_losss, train_acc1s, train_acc5s = [], [], []\n",
    "    for i, data in enumerate(train_loader):\n",
    "        model = model.train()\n",
    "        train_img, train_label = data\n",
    "        optimizer.zero_grad()\n",
    "        \n",
    "        train_img = Variable(train_img).cuda()\n",
    "        train_label = Variable(train_label.view(-1)).cuda()\n",
    "\n",
    "        output = model(train_img)\n",
    "        train_loss = loss_fn(output, train_label)\n",
    "        \n",
    "        train_loss.backward()\n",
    "        optimizer.step()\n",
    "        scheduler.step()\n",
    "        \n",
    "        train_losss.append(train_loss.item())\n",
    "\n",
    "        if i % int(100) == 0:\n",
    "            val_losss, val_acc1s, val_acc5s = [], [], []\n",
    "            \n",
    "            with torch.no_grad():\n",
    "                model.eval()\n",
    "                train_acc1, train_acc3 = accuracy(output, train_label, topk=(1, 3))\n",
    "                train_acc1s.append(train_acc1.data.item())\n",
    "                train_acc5s.append(train_acc3.item())\n",
    "            \n",
    "                for data in val_loader:\n",
    "                    val_images, val_labels = data\n",
    "                    \n",
    "                    # val_images = Variable(val_images).cuda(async=True)\n",
    "                    # val_labels = Variable(val_labels.view(-1)).cuda()\n",
    "\n",
    "                    val_images = Variable(val_images).cuda()\n",
    "                    val_labels = Variable(val_labels.view(-1)).cuda() \n",
    "                    \n",
    "                    output = model(val_images)\n",
    "                    val_loss = loss_fn(output, val_labels)\n",
    "                    val_acc1, val_acc3 = accuracy(output, val_labels, topk=(1, 3))\n",
    "                    \n",
    "                    val_losss.append(val_loss.item())\n",
    "                    val_acc1s.append(val_acc1.item())\n",
    "                    val_acc5s.append(val_acc3.item())\n",
    "                    \n",
    "            logstr = '{0:2s}/{1:6s}\\t\\t{2:.4f}/{3:.4f}/{4:.4f}\\t\\t{5:.4f}/{6:.4f}/{7:.4f}'.format(\n",
    "                    str(epoch), str(i),\n",
    "                    np.mean(train_losss, 0), np.mean(train_acc1s, 0), np.mean(train_acc5s, 0),\n",
    "                    np.mean(val_losss, 0), np.mean(val_acc1s, 0), np.mean(val_acc5s, 0),\n",
    "                )\n",
    "            torch.save(model.state_dict(), 'model_{0}.pt'.format(epoch))\n",
    "            print(logstr)\n",
    "            logging.info(logstr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-24T09:20:53.728474Z",
     "iopub.status.busy": "2021-06-24T09:20:53.727843Z",
     "iopub.status.idle": "2021-06-24T09:20:53.738846Z",
     "shell.execute_reply": "2021-06-24T09:20:53.738217Z",
     "shell.execute_reply.started": "2021-06-24T09:20:53.728421Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "test_df = pd.DataFrame({'path': glob.glob('./清华大学_智能硬件语音控制的时频图分类挑战赛/测试集/*')})\n",
    "test_df['label'] = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-24T09:21:00.874966Z",
     "iopub.status.busy": "2021-06-24T09:21:00.874419Z",
     "iopub.status.idle": "2021-06-24T09:21:00.883684Z",
     "shell.execute_reply": "2021-06-24T09:21:00.883050Z",
     "shell.execute_reply.started": "2021-06-24T09:21:00.874921Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "test_loader = torch.utils.data.DataLoader(\n",
    "    XunFeiDataset(test_df['path'].values[:], test_df['label'].values[:],\n",
    "                    A.Compose(\n",
    "                        [\n",
    "                            A.Resize(330, 330),\n",
    "                            A.ShiftScaleRotate(shift_limit=0.05, scale_limit=0.05, rotate_limit=15, p=0.5),\n",
    "                            A.Normalize(mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225)),\n",
    "                            ToTensorV2(),\n",
    "                        ])\n",
    "    ),\n",
    "    batch_size=10, shuffle=False, num_workers=5,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-24T09:21:02.302510Z",
     "iopub.status.busy": "2021-06-24T09:21:02.301994Z",
     "iopub.status.idle": "2021-06-24T09:21:19.967990Z",
     "shell.execute_reply": "2021-06-24T09:21:19.967482Z",
     "shell.execute_reply.started": "2021-06-24T09:21:02.302465Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:6: UserWarning: This overload of cuda is deprecated:\n",
      "\tcuda(torch.device device, bool async, *, torch.memory_format memory_format)\n",
      "Consider using one of the following signatures instead:\n",
      "\tcuda(torch.device device, bool non_blocking, *, torch.memory_format memory_format) (Triggered internally at  /pytorch/torch/csrc/utils/python_arg_parser.cpp:882.)\n",
      "  \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "1\n",
      "2\n",
      "3\n",
      "4\n"
     ]
    }
   ],
   "source": [
    "pred_tta = []\n",
    "for tti in range(5):\n",
    "    pred = []\n",
    "    with torch.no_grad():\n",
    "        for t, (x, y) in enumerate(test_loader):\n",
    "            x_var = Variable(x).cuda(async=True)\n",
    "            y_var = Variable(y).cuda()\n",
    "            scores = model(x_var)\n",
    "            pred.append(scores.data.cpu().numpy())\n",
    "    pred = np.concatenate(pred, 0)    \n",
    "    print(tti)\n",
    "    pred_tta.append(pred)\n",
    "\n",
    "pred = np.mean(pred_tta, axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-24T09:21:27.521401Z",
     "iopub.status.busy": "2021-06-24T09:21:27.520851Z",
     "iopub.status.idle": "2021-06-24T09:21:27.527868Z",
     "shell.execute_reply": "2021-06-24T09:21:27.527075Z",
     "shell.execute_reply.started": "2021-06-24T09:21:27.521355Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "test_df['category_id'] = pred.argmax(1)\n",
    "test_df['image_id'] = test_df['path'].apply(lambda x: x.split('/')[-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-24T09:21:27.815861Z",
     "iopub.status.busy": "2021-06-24T09:21:27.815421Z",
     "iopub.status.idle": "2021-06-24T09:21:27.858799Z",
     "shell.execute_reply": "2021-06-24T09:21:27.857769Z",
     "shell.execute_reply.started": "2021-06-24T09:21:27.815831Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "test_df[['image_id','category_id']].to_csv('submit113.csv', index=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "display_name": "Python 3",
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